@InProceedings{buraya-EtAl:2017:BSNLP,
  author    = {Buraya, Kseniya  and  Pivovarova, Lidia  and  Budkov, Sergey  and  Filchenkov, Andrey},
  title     = {Towards Never Ending Language Learning for Morphologically Rich Languages},
  booktitle = {Proceedings of the 6th Workshop on Balto-Slavic Natural Language Processing},
  month     = {April},
  year      = {2017},
  address   = {Valencia, Spain},
  publisher = {Association for Computational Linguistics},
  pages     = {108--118},
  abstract  = {This work deals with ontology learning from unstructured Russian text. We
	implement one of components Never Ending Language Learner and introduce the
	algorithm extensions aimed to gather specificity of morphologicaly rich
	free-word-order language. We demonstrate that this method may be successfully
	applied to Russian data. In addition we perform several additional experiments
	comparing different settings of the training process. We demonstrate that
	utilizing of morphological features significantly improves the system precision
	while using of seed patterns helps to improve the coverage.},
  url       = {http://www.aclweb.org/anthology/W17-1417}
}